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Remote Data Optimization Jobs in Oregon (NOW HIRING)

Junior Business & Data Analyst

OR ยท Remote

$75K - $95K/yr

Support query optimization and performance improvements. * Work within existing data models and ... Remote For California residents: Upgrade's California Notice at Collection and Privacy Policy ...

Data Product Manager

OR ยท On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... for optimization. * Regularly communicate product updates, strategic vision, and performance ...

Senior Staff Software Engineer, Data

OR ยท On-site +1

$105K - $143K/yr

This is a senior individual contributor role open to remote candidates across the United States ... Optimizing warehouse performance and reducing compute spend. * Implementing secure access controls ...

Enterprise Data Architect #3599143

Portland, OR ยท On-site +1

$150K - $173K/yr

Remote work may require approval and is most likely to be considered only for exceptionally aligned ... optimization. * Experience enabling Power BI or similar modern BI platforms for self-service ...

Our Investment in You: ยท Full-time remote work ยท Competitive salaries ยท Excellent benefits Key ... optimization opportunities and develop innovative, data-driven solutions. ยท Utilize leading BI ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Staff Data Analyst, Servicing

OR ยท On-site +1

$61K - $81K/yr

... development, optimization, and enhancement of our recoveries and collections strategy. You'll ... Remote Travel requirements As a digital first company, the majority of your work can be ...

More specifically, we are seeking engineers who love scaling and optimizing the performance of ... You are passionate about efficiency, availability, scalability and data governance. * You thrive in ...

Senior Data Analyst - Financial Analytics

OR ยท On-site +1

$132K - $173K/yr

... by optimizing device performance and advancing yield knowledge. The company serves customers ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

Senior Brand Manager (Remote)

Portland, OR ยท On-site +1

$80K - $100K/yr

Manage end-to-end marketplace operations, including SEO, content optimization, promotions, and ... Analyze data to identify trends, opportunities, and areas for improvement, delivering actionable ...

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Showing results 1-20

Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are popular job titles related to Remote Data Optimization jobs in Oregon? For Remote Data Optimization jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Remote Data Optimization jobs? Cities in Oregon with the most Remote Data Optimization job openings:
Junior Business & Data Analyst

Junior Business & Data Analyst

Upgrade

OR โ€ข Remote

$75K - $95K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

About the Role

We are looking for a curious, detail-oriented Junior Business and Data Analyst to join our growing analytics team. You will bring at least 2 years of experience in an analytics or data-focused role. That means you have worked with real data in a real environment, dealt with messy inputs, and delivered something a stakeholder actually used. A degree without hands-on experience is not a substitute.

In this role you will support data-driven decision making by building reports, writing SQL queries, and surfacing insights that help business leaders understand performance and identify opportunities. You will work closely with senior analysts and business stakeholders while continuing to develop your skills in analytics, forecasting, and data storytelling.

What You'll Do:

Data Analytics and Business Intelligence

  • Analyze data to identify trends, patterns, and anomalies. Support root cause analysis and performance investigations.
  • Assist in KPI tracking, data quality checks, and governance processes.
  • Build and maintain business intelligence reports and apply statistical analysis fundamentals.
  • Serve as the data resource for the commercial and account management teams. You will see how the business runs day to day and where the gaps are, which directly informs how the team prioritizes its work.

SQL and Data Engineering

  • Write and maintain SQL queries using joins, CTEs, and window functions. Support query optimization and performance improvements.
  • Work within existing data models and warehouse structures to extract and transform data for reporting needs.
  • Document data logic and query definitions to support data validation and reconciliation efforts.

Forecasting and Reporting

  • Help enhance and maintain scenario models under guidance. Track and report on forecast accuracy.
  • Build and maintain dashboards and standard reports. Develop clear, accurate data visualizations following best practices.
  • Support QBR preparation and executive reporting. Contribute to automated reporting solutions.

What We Look For:

  • 2 or more years of experience in an analytics or data-focused role.
  • SQL proficiency including joins, CTEs, and window functions. You do not need to be a data engineer but you need to write and maintain real queries.
  • Experience with Tableau, Microsoft Excel, Redshift, and Databricks.
  • You use AI tools like Claude or ChatGPT as a real part of your workflow, not as a novelty.
  • You are genuinely curious about data and what it means. When something looks off, you go find out why rather than waiting to be told. You ask questions before starting a project, not after.
  • Ability to gather and document business requirements, collaborate cross-functionally, and contribute to business case development.
  • Ability to present findings clearly, translate data outputs into plain-language summaries, and develop supporting materials for executive presentations.
  • Comfortable forming and testing hypotheses with guidance and developing critical and structured thinking skills.
  • Ability to identify patterns and trends in structured datasets, flag anomalies, and contribute observations that inform strategic recommendations.

What We Offer You:ย 

  • Competitive salary
  • 100% paid coverage of medical, dental and vision insuranceย 
  • Flexible PTO
  • Competitive 401(k)ย 
  • Opportunities for professional growth and developmentย 
  • Paid parental leave
  • Health & wellness initiatives

The compensation range of this position in San Francisco, CA is USD $75,000-$95,000 plus equity and benefits. Within this range, an individual's pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.

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